Substation intelligent patrol environment monitoring system and method

Abstract

The present invention discloses an intelligent patrol environment monitoring system for a substation. The present invention comprehensively considers the equipment's usage time, historical maintenance times and fault causes in combination with the equipment's commissioning date, historical maintenance records and current evaluation starting point, and can comprehensively and accurately evaluate the equipment's equipment status index at a specific time point. The equipment status index of each device in the substation at the current evaluation starting point is input into a database and matched with a corresponding index value range, thereby obtaining a patrol reference interval duration of each device in the substation at the current evaluation starting point. Based on the comparison result between the patrol reference interval duration of each device and the patrol elapsed time, a patrol signal for each device is generated, thereby solving the problem in the prior art that traditional equipment monitoring often relies on a fixed patrol cycle and cannot be dynamically adjusted according to the actual usage status and historical data of the equipment.

Description

Technical Field

[0001] The invention relates to the technical field of patrol environment monitoring, and in particular to an intelligent patrol environment monitoring system for a transformer substation. Background Art

[0002] With the rapid growth of substations and equipment within them, higher requirements are placed on equipment status control and operational reliability. However, substation operation professionals are faced with the current situation of "few people, many stations, and high requirements". The contradiction between intensive equipment monitoring and lean management is becoming increasingly prominent.

[0003] Then, the substation intelligent patrol environment monitoring system in the prior art still has the following shortcomings: The equipment in the substation is diverse and complex. Traditional equipment monitoring often relies on fixed inspection cycles and cannot be dynamically adjusted according to the actual use status and historical data of the equipment. At the same time, inspection personnel are the key force to ensure the normal operation of substation equipment, but the existing technology has deficiencies in personnel allocation; due to the lack of comprehensive consideration of equipment requirements and personnel skills, it is impossible to reasonably allocate inspection personnel to the inspection work of different equipment, resulting in low efficiency of equipment inspection in substations and low intelligence level; Moreover, when evaluating patrol inspectors, it is impossible to conduct a comprehensive and objective evaluation of their work performance. Existing evaluation methods often only focus on single indicators such as the number of inspections, which have low reference value.

[0004] To this end, an intelligent patrol and environmental monitoring system for substations was launched. Summary of the invention

[0005] In view of this, the present invention provides a substation intelligent patrol environment monitoring system to solve the problems raised by the above background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The substation intelligent patrol environment monitoring system comprises: Equipment management module: including equipment database, equipment monitoring unit and task allocation unit; Equipment database: stores the basic information and operation information of each device in the substation and builds a database based on it; Equipment monitoring unit: according to the preset monitoring time interval corresponding to each device in the substation, after reaching the corresponding preset monitoring time interval, analyze the usage status of the corresponding equipment in the substation, and execute corresponding steps based on the analysis results to generate the inspection signaling of the corresponding equipment in the substation; Task allocation unit: When generating inspection signaling for corresponding equipment in the substation, determine the impact level of the corresponding equipment and analyze the inspection performance index of each inspector within the set range. , and then execute the corresponding steps to select the corresponding inspection personnel as the operation and maintenance personnel of the corresponding equipment in the substation; Personnel monitoring module: After the operation and maintenance personnel enter the location of the corresponding equipment in the substation, the video stream data after the operation and maintenance personnel arrive at the location of the corresponding equipment is collected and analyzed to determine whether the operation and maintenance personnel have violated regulations during the inspection process; Management decision-making module: conducts a comprehensive analysis of the substation's violations for the month, thereby generating a safety behavior report for the substation for the month.

[0007] In some embodiments, the usage status of corresponding equipment in the substation is analyzed, specifically: After the corresponding preset monitoring time interval is reached, the time point at which the corresponding preset monitoring time interval is reached is marked as the evaluation starting point, and the commissioning date and historical maintenance records of the corresponding equipment before the evaluation starting point are extracted from the equipment database; The historical maintenance times of the corresponding equipment are counted from the historical maintenance records of the corresponding equipment, and the time difference between the date when the corresponding equipment was put into use and the evaluation starting point is calculated to obtain the usage time of the corresponding equipment. The ratio of the historical maintenance times and the usage time is calculated to obtain the failure frequency of the corresponding equipment at the current evaluation starting point, that is, the failure frequency is calculated by the historical maintenance times / the usage time; the failure causes of the corresponding equipment corresponding to each historical maintenance are obtained, and different failure causes are set to correspond to a corresponding equipment hidden danger score; the failure causes of each historical maintenance of the corresponding equipment are matched with the corresponding equipment hidden danger score, and the equipment hidden danger scores matched by each historical maintenance are accumulated to obtain the hidden danger index of the corresponding equipment at the current evaluation starting point; the failure frequency and hidden danger index of the corresponding equipment at the current evaluation starting point are marked as eq and er respectively; at the same time, the operation time of the corresponding equipment is obtained and marked as ey; Substitute the failure frequency eq, hidden danger index er and running time ey of the corresponding equipment at the current evaluation starting point into the formula , perform weighted calculation to obtain the device status index of the corresponding device at the current evaluation starting point ;in , as well as They respectively represent the maximum allowable failure frequency, the maximum allowable hidden danger index and the single maximum allowable operating time of the corresponding equipment; a1, a2 and a3 are the influence weight factors of the failure frequency eq, the hidden danger index er and the operating time ey, respectively.

[0008] In some embodiments, corresponding steps are executed based on the analysis results to generate inspection signaling for corresponding equipment in the substation, specifically: The equipment status index of each device in the substation at the current evaluation starting point is used Indicates, where v represents the number of substation equipment, v=1,2......, f, f represents the total number of equipment in the substation, and the database includes the corresponding equipment status index of each equipment in the substation Each group of index value ranges is set, and each group of index value ranges is set to correspond to a corresponding inspection reference interval duration of the corresponding equipment; The equipment status index of each equipment in the substation at the current evaluation starting point The input database is matched with the corresponding index value range to obtain the inspection reference interval of each device in the substation at the current evaluation starting point; the inspection date of each device in the substation closest to the current evaluation starting point is obtained, and the time difference with the current evaluation starting point is calculated to obtain the inspection time of each device in the substation; The inspection time of each device in the substation is compared with the corresponding inspection reference interval. If the inspection time of a device in the substation is longer than the corresponding inspection reference interval, the device is marked as a device to be inspected, and an inspection signaling of the device is generated; If the inspection time of a device in the substation is less than the corresponding matching inspection reference interval, the device will be marked as a device to be evaluated and sent to the manager's mobile terminal. The manager can directly mark the device as a device to be inspected and generate an inspection signal for the device.

[0009] In some embodiments, the impact level of the corresponding equipment is determined, and the inspection performance index of each inspection personnel within the set range is analyzed. , specifically: S1: preset the impact levels of each group corresponding to the equipment, and classify the impact levels of each equipment in the substation; when generating the inspection signaling of the corresponding equipment in the substation, obtain the impact level corresponding to the classification of the equipment; S2: Construct a circle with the corresponding device as the center and the set distance as the radius. Use the constructed circle as the setting range of the corresponding device, select the inspectors within the setting range, and analyze the inspection performance index of each inspector within the setting range. .

[0010] In some embodiments, based on the inspection performance index of each inspection personnel Execute the corresponding steps to select the corresponding inspection personnel as the operation and maintenance personnel of the corresponding equipment in the substation, specifically: S3: Select inspection performance index The largest inspection personnel serves as the operation and maintenance personnel of the corresponding equipment of the substation, and sends the location of the corresponding equipment to the operation and maintenance personnel. At the same time, the historical inspection times of the operation and maintenance personnel are increased by one; S4: If multiple groups of inspection signaling are generated, first obtain the devices to be inspected corresponding to the multiple groups of inspection signaling, extract and eliminate the devices to be inspected marked by the management personnel, and execute step S5 for the devices to be inspected marked by the management personnel; after the elimination, obtain the inspection elapsed time and the inspection reference interval of the remaining devices to be inspected, and calculate the difference, that is, subtract the inspection reference interval from the inspection elapsed time, mark the calculated difference as the priority evaluation value, obtain the impact level corresponding to the remaining devices to be inspected, set different impact levels to correspond to an impact coefficient, multiply the priority evaluation value of the remaining devices to be inspected by the corresponding impact coefficient, obtain the patrol priority index of the remaining devices to be inspected, sort the patrol priority index of each remaining device to be inspected from large to small, and after the sorting is completed, execute steps S2 and S3 from left to right in sequence; S5: Obtain the inspection elapsed time and the inspection reference interval of the equipment to be inspected marked by the manager, and calculate the difference, that is, subtract the inspection elapsed time from the inspection reference interval, and mark the calculated difference as the remaining arrival time; similarly, step S4 obtains the influence coefficient of the equipment to be inspected marked by the manager, calculates the ratio between the corresponding influence coefficient and the remaining arrival time of the equipment to be inspected marked by the manager, that is, through the influence coefficient / remaining arrival time, obtains the inspection warning index of the equipment to be inspected marked by the manager, and sorts the inspection warning index of the equipment to be inspected marked by the manager from large to small. After the sorting is completed, it is integrated with the sorting result of step S4 to form a new sorting combination. The leftmost side of the sorting result of step S5 is adjacent to the rightmost side of the sorting result of step S4. After the sorting is completed, steps S2 and S3 are executed from left to right in sequence.

[0011] In some embodiments, the inspection performance index of each inspection personnel is obtained. The specific steps are: S2-101: extract the historical inspection times of each inspector from the work log of each inspector within the set range and record it as j1; S2-102: Extract the duration of each historical inspection corresponding to each inspector within the set range, and the duration starts from the time when the inspector is selected and ends at the time when the inspection is completed; obtain the equipment corresponding to each historical inspection, set the reference duration of different equipment, and compare the duration of each historical inspection with the corresponding reference duration. If the duration of a historical inspection is lower than the corresponding reference duration, mark the inspection as an efficient inspection, count the number of efficient inspections as the efficient number, and record it as j2; S2-103: extract the violation behaviors of each inspector in the previous month from the work logs of each inspector within the set range; set a risk score corresponding to each violation behavior; convert the violation behaviors of each inspector in the previous month into a risk score based on the set rules and accumulate them as the violation score of each inspector, which is recorded as j3; S2-104; obtaining the distance between each patrol officer and the corresponding equipment within the set range, and recording it as j4; S2-105: Set different values ​​of the impact weight factors of the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 corresponding to different impact levels. Based on the impact level corresponding to the corresponding equipment, normalize the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 of each inspector and substitute them into the formula Perform weighted calculation to obtain the inspection performance index of each inspector ; Among them, b1, b2, b3 and b4 represent the influencing weight factors of historical inspection times j1, efficient times j2, violation scores j3 and journey distance j4 respectively.

[0012] In some embodiments, the video stream data is analyzed to determine whether the operation and maintenance personnel have violated regulations during the inspection process, specifically: After collecting the video stream data after the operation and maintenance personnel arrive at the location of the corresponding equipment, the video stream data is converted into an image in a set format, and the image is pre-processed after the conversion is completed; After the preprocessing is completed, the preprocessed image is subjected to feature extraction, and the extracted features are input into the pre-built recognition model, which includes qualified images of various safety behaviors. If a certain extracted feature fails to match the corresponding qualified image after being input into the recognition model, the violation behavior corresponding to the feature is generated; the extracted features are mainly color features and shape features of the corresponding image positions; If one of the color features and shape features fails to match the root, the match failure will be displayed directly. At the same time, the group of images will be marked and sent to the management staff for review. After review, the management staff will feedback the final result and determine whether the operation and maintenance personnel have violated the rules during the inspection process.

[0013] In some embodiments, a comprehensive analysis of the substation's violations for the month is performed, specifically: M1: Based on the location of each device in the substation, different equipment areas are divided, and the number of violations that occurred in different equipment areas of the substation in the month is counted; M2: First, convert the number of violations that occurred in different equipment areas in the month into corresponding risk scores, set the risk coefficients of the corresponding violations in different equipment areas, sum the risk scores of each group of different equipment areas in the substation in the month, and then multiply the sum by the risk coefficient of the corresponding equipment area to obtain the regional violation index of the corresponding equipment area of ​​the substation; M3: After obtaining the regional violation indexes of different equipment areas according to step M2, sum the regional violation indexes of different equipment areas to obtain the index sum, and calculate the proportion of the corresponding regional violation indexes of different equipment areas in the index sum respectively, and use the calculated proportions of each group as the duration proportions of different equipment areas in the safety training video of the next month, and send it to the management personnel to adjust the corresponding duration proportions of the safety training video of the next month; M4: Count the number of violations that occurred in different equipment areas of the substation in that month, and extract the inspection personnel corresponding to each violation, sort the number of violations of each inspection personnel from most to least, and extract the top three inspection personnel as the personnel with more violations.

[0014] In some embodiments, a security behavior report of the substation for the current month is generated, specifically: M5: Based on steps M1 to M4, the analysis results are filled into the preset safety behavior report template to generate a safety behavior report for the substation for that month; the analysis results include the number of violations that occurred in different equipment areas of the substation for that month, the regional violation index of different equipment areas of the substation, the proportion of time spent in different equipment areas in the safety training video for the next month, and the people with more violations.

[0015] In some embodiments, the device management module also includes a monitoring management unit, a data transmission unit, and a display unit; The monitoring management unit is used to integrate various pre-deployed intelligent devices; The data transmission unit is used to transmit various pre-deployed intelligent devices to the device database through wireless communication; The display unit is used to present the analysis results of the equipment monitoring unit and the personnel monitoring module in real time on the monitoring interface.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention can comprehensively and accurately evaluate the equipment status index of the equipment at a specific time point by combining the commissioning date of the equipment, historical maintenance records and the current evaluation starting point, comprehensively considering the equipment's usage time, historical maintenance times and fault causes, input the equipment status index of each device in the substation at the current evaluation starting point into the database and match it with the corresponding index value range, thereby obtaining the inspection reference interval duration of each device in the substation at the current evaluation starting point, and generating inspection signaling for each device based on the comparison result between the inspection reference interval duration of each device and the inspection elapsed time, thereby solving the problem in the prior art that traditional equipment monitoring often relies on a fixed inspection cycle and cannot be dynamically adjusted according to the actual usage status and historical data of the equipment; The present invention analyzes the number of historical inspections, the number of efficient inspections, the violation scores, and the distance from the equipment by the inspectors, and assigns different influence weight factors according to the influence level of the equipment for comprehensive evaluation, so as to measure the work performance and adaptability of the inspectors more comprehensively and objectively. This multi-dimensional evaluation method avoids the limitation of personnel selection determined by a single factor and improves the degree of intelligence. The present invention collects and analyzes the video stream data of the operation and maintenance personnel's inspection process to determine whether the operation and maintenance personnel have any illegal behavior during the inspection process. If there is any illegal behavior, it will be recorded and stored in the database to help the inspection personnel correct it and reduce the risk of safety accidents. The present invention calculates the proportion of the duration of different equipment areas in the safety training video according to the violation situations, thereby realizing the personalization and pertinence of the safety training; for areas with more violations, more time is given in the safety training video, which can explain the safety regulations and operating points of the area in more depth, and help to improve the inspection personnel's attention to the safety issues in the area and their operating skills, thereby reducing the occurrence of violations. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0018] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0019] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0020] See also Figure 1 As shown, the substation intelligent patrol environment monitoring system includes: The equipment management module includes an equipment database, an equipment monitoring unit and a task allocation unit; The equipment database is used to store the basic information and operation information of each device in the substation, and thus construct a database; the basic information includes but is not limited to the equipment model, specifications and manufacturer; the operation information includes but is not limited to the equipment's operating parameters, maintenance records and inspection records; The equipment monitoring unit analyzes the usage status of the corresponding equipment in the substation according to the preset monitoring time interval corresponding to each equipment in the substation after the corresponding preset monitoring time interval is reached, and executes corresponding steps based on the analysis result to generate the inspection signaling of the corresponding equipment in the substation; It should be noted that the preset monitoring time interval corresponding to each device in the substation is initially set according to the importance of the equipment. For example, the main transformer, high-voltage circuit breaker, etc., whose failure will have a serious impact on the operation of the entire substation, the corresponding monitoring time interval will be set shorter, while the lighting coefficient and ordinary distribution box and other relatively minor equipment will have a longer corresponding monitoring time interval; the monitoring time interval can be adjusted later according to the actual usage of each device.

[0021] Specifically: After the corresponding preset monitoring time interval is reached, the time point at which the corresponding preset monitoring time interval is reached is marked as the evaluation starting point, and the commissioning date and historical maintenance records of the corresponding equipment before the evaluation starting point are extracted from the equipment database; The historical maintenance times of the corresponding equipment are counted from the historical maintenance records of the corresponding equipment, and the time difference between the date when the corresponding equipment was put into use and the evaluation starting point is calculated to obtain the usage time of the corresponding equipment. The ratio of the historical maintenance times and the usage time is calculated to obtain the failure frequency of the corresponding equipment at the current evaluation starting point, that is, the historical maintenance times / usage time are divided to obtain the failure frequency of the corresponding equipment at the current evaluation starting point; Obtain the fault causes of each historical maintenance of the corresponding equipment, set different fault causes to correspond to a corresponding equipment hidden danger score; the equipment hidden danger score range is set to 1-10 and is an integer; match the fault causes of each historical maintenance of the corresponding equipment with the corresponding equipment hidden danger score, accumulate the equipment hidden danger scores matched by each historical maintenance, and thus obtain the hidden danger index of the corresponding equipment at the current evaluation starting point; The failure frequency and hidden danger index of the corresponding equipment at the current evaluation starting point are marked as eq and er respectively; at the same time, the running time of the corresponding equipment is obtained and marked as ey; the running time is counted from the time when the corresponding equipment starts to run, and the time difference with the current evaluation starting point is calculated, and the calculation result is used as the running time of the corresponding equipment; Substitute the failure frequency eq, hidden danger index er and running time ey of the corresponding equipment at the current evaluation starting point into the formula , perform weighted calculation to obtain the device status index of the corresponding device at the current evaluation starting point ;in , as well as They represent the maximum allowable fault frequency, the maximum allowable hidden danger index and the maximum allowable single operation time of the corresponding equipment, which are set by the technical staff and dynamically adjusted after re-evaluation according to the preset evaluation time interval; a1, a2 and a3 are the influence weight factors of the fault frequency eq, the hidden danger index er and the operation time ey respectively; By combining the equipment's commissioning date, historical maintenance records, and the current assessment starting point, the system takes into account multiple factors, including the equipment's service life, historical maintenance times, and fault causes, to comprehensively and accurately assess the equipment's status at a specific point in time. The equipment status index of each device in the substation at the current evaluation starting point is used Indicates, where v represents the number of substation equipment, v=1,2......, f, f represents the total number of equipment in the substation, and the database includes the corresponding equipment status index of each equipment in the substation Each group of index value ranges is set, and each group of index value ranges is set to correspond to a corresponding inspection reference interval duration of the corresponding equipment; The database sets a range of values ​​for each group of equipment status indexes corresponding to a reference inspection interval. The appropriate inspection interval can be determined according to the specific status of the equipment, thus realizing personalized inspection arrangements. For equipment with a higher level, the inspection interval can be shortened, and potential problems can be discovered and handled in a timely manner; for equipment status index For lower equipment, the inspection interval can be appropriately extended, unnecessary inspection work can be reduced, and operation and maintenance efficiency can be improved; The equipment status index of each equipment in the substation at the current evaluation starting point The input database is matched with the corresponding index value range to obtain the inspection reference interval duration of each device in the substation at the current evaluation starting point; Obtain the inspection date of each device in the substation closest to the current evaluation starting point, and calculate the time difference with the current evaluation starting point to obtain the inspection time of each device in the substation; The inspection time of each device in the substation is compared with the corresponding inspection reference interval. If the inspection time of a device in the substation is longer than the corresponding inspection reference interval, the device is marked as a device to be inspected, and an inspection signaling of the device is generated; By comparing the elapsed inspection time of the device with the corresponding matching inspection reference interval, it is automatically determined whether the device needs inspection. If the elapsed inspection time is longer than the inspection reference interval, the device is automatically marked as a device to be inspected and an inspection signal is generated, realizing intelligent inspection decision-making and reducing the error and workload of manual judgment; If the inspection time of a device in the substation is less than the corresponding inspection reference interval, the device will be marked as a device to be evaluated and sent to the manager's mobile terminal. The manager can directly mark the device as a device to be inspected and generate an inspection signal for the device. For devices whose inspection time is shorter than the inspection reference interval, they are marked as devices to be evaluated and sent to the manager's mobile terminal. The manager can directly mark them as devices to be inspected based on the actual situation, which increases the flexibility and initiative of management. The task allocation unit is used to determine the impact level of the corresponding equipment when generating the inspection signaling of the corresponding equipment in the substation, and analyze the inspection performance index of each inspector within the set range. , based on the inspection performance index of each inspector Execute corresponding steps to select corresponding inspection personnel as operation and maintenance personnel of corresponding equipment in the substation; The specific steps are: S1: preset the impact levels of each group corresponding to the equipment, and classify the impact levels of each equipment in the substation; the technical staff will make the initial classification, and it can be dynamically adjusted according to the actual situation later; when generating the inspection signaling of the corresponding equipment in the substation, the impact level corresponding to the classification of the equipment is obtained; Different equipment in the substation has different operating scenarios and importance, so they are divided into different levels, which makes it more intelligent when selecting inspection personnel; S2: Construct a circle with the corresponding device as the center and the set distance as the radius. Use the constructed circle as the setting range of the corresponding device, select the inspectors within the setting range, and analyze the inspection performance index of each inspector within the setting range. ; S2-101: extract the historical inspection times of each inspector from the work log of each inspector within the set range; the work log of the inspector is also stored in the database for storing the work record of each inspector; and recorded as j1; S2-102: Extract the duration of each historical inspection corresponding to each inspector within the set range, and the duration starts from the time when the inspector is selected and ends at the time when the inspection is completed; obtain the equipment corresponding to each historical inspection, set the reference duration of different equipment, and compare the duration of each historical inspection with the corresponding reference duration. If the duration of a historical inspection is lower than the corresponding reference duration, mark the inspection as an efficient inspection, count the number of efficient inspections as the efficient number, and record it as j2; S2-103: Extract the violations of each inspector in the previous month from the work log of each inspector within the set range; violations include but are not limited to not wearing protective equipment, not wearing work clothes, and not setting up fences; Set a risk score for each violation; set the risk score range to 1-5, the more dangerous the violation, the higher the corresponding risk score; convert the violation of each inspector last month into a risk score based on the set rules and accumulate them as the violation score of each inspector, and record them as j3; S2-104; obtain the distance between each inspection personnel and the corresponding equipment within the set range, and record it as j4; the unit of the distance is km; S2-105: Set different values ​​of the impact weight factors of the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 corresponding to different impact levels. Based on the impact level corresponding to the corresponding equipment, normalize the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 of each inspector and substitute them into the formula Perform weighted calculation to obtain the inspection performance index of each inspector ; Where b1, b2, b3 and b4 represent the influence weight factors of the historical inspection times j1, the efficient times j2, the violation score j3 and the distance j4, respectively, and the specific values ​​are set according to the corresponding impact level of the corresponding equipment; By analyzing multiple factors such as the number of historical inspections by inspectors, the number of efficient inspections, violation scores, and the distance from the equipment, and assigning different weights according to the impact level of the equipment for comprehensive evaluation, the work performance and adaptability of inspectors can be measured more comprehensively and objectively. This multi-dimensional evaluation method avoids the limitation of personnel selection determined by a single factor, making the selected operation and maintenance personnel more in line with the actual needs of equipment inspection. Adapt to the needs of different equipment and dynamically adjust the weight factors of various factors according to the impact level of the equipment. For equipment with higher importance, you can prefer to choose inspectors with rich experience (higher weight of historical inspection times) and strong safety awareness (higher weight of violation scores); for relatively unimportant equipment, you can more flexibly choose suitable inspectors based on comprehensive consideration of various factors; S3: Select inspection performance index The largest inspection personnel serves as the operation and maintenance personnel of the corresponding equipment of the substation, and sends the location of the corresponding equipment to the operation and maintenance personnel. At the same time, the historical inspection times of the operation and maintenance personnel are increased by one; S4: If multiple groups of inspection signaling are generated, first obtain the devices to be inspected corresponding to the multiple groups of inspection signaling, extract and eliminate the devices to be inspected marked by the management personnel, and execute step S5 for the devices to be inspected marked by the management personnel; after the elimination, obtain the inspection elapsed time and the inspection reference interval of the remaining devices to be inspected, and calculate the difference, that is, subtract the inspection reference interval from the inspection elapsed time, mark the calculated difference as the priority evaluation value, obtain the impact level corresponding to the remaining devices to be inspected, set different impact levels to correspond to an impact coefficient, multiply the priority evaluation value of the remaining devices to be inspected by the corresponding impact coefficient, obtain the patrol priority index of the remaining devices to be inspected, sort the patrol priority index of each remaining device to be inspected from large to small, and after the sorting is completed, execute steps S2 and S3 from left to right in sequence; The higher the impact level, the higher the corresponding impact coefficient, and the higher the corresponding patrol index; S5: Obtain the inspection elapsed time and inspection reference interval of the equipment to be inspected marked by the manager, and calculate the difference, that is, subtract the inspection elapsed time from the inspection reference interval, and mark the calculated difference as the remaining arrival time; similarly, step S4 obtains the influence coefficient of the equipment to be inspected marked by the manager, calculates the ratio between the corresponding influence coefficient and the remaining arrival time of the equipment to be inspected marked by the manager, that is, obtains the inspection warning index of the equipment to be inspected marked by the manager through the influence coefficient / remaining arrival time, and sorts the inspection warning index of the equipment to be inspected marked by the manager from large to small. After the sorting is completed, it is integrated with the sorting result of step S4 to form a new sorting combination. The leftmost side of the sorting result of step S5 is adjacent to the rightmost side of the sorting result of step S4. After the sorting is completed, steps S2 and S3 are executed from left to right in sequence; The shorter the remaining arrival time, the closer the equipment is to the inspection date. The higher the impact coefficient and the shorter the remaining arrival time, the higher the inspection warning index, indicating the degree to which the equipment is close to inspection. The personnel monitoring module is used to collect the video stream data of the operation and maintenance personnel after they enter the location of the corresponding equipment in the substation through the monitoring equipment deployed at the operation site of each equipment in the substation, and analyze the video stream data to determine whether the operation and maintenance personnel have violated the rules during the inspection process. If there is any violation, it will be recorded and stored in the database; the monitoring equipment is specifically a high-definition monitoring camera; Specifically: After collecting the video stream data after the operation and maintenance personnel arrive at the location of the corresponding equipment, it is transmitted to the edge computing device via wireless WIFI; Edge computing devices have powerful computing and algorithm analysis capabilities and can process video stream data in real time; Convert the video stream data into an image of a set format, and pre-process the image after the conversion; the pre-processing includes but is not limited to enhancement and correction processing; For example, if the image is blurred, an image sharpening algorithm can be used for processing; if the image has uneven illumination, a histogram equalization process can be performed to make the brightness and contrast of the image more uniform, which is convenient for subsequent feature extraction and analysis; After the preprocessing is completed, the preprocessed image is subjected to feature extraction, and the extracted features are input into the pre-built recognition model, which includes qualified images of various safety behaviors. If a certain extracted feature fails to match the corresponding qualified image after being input into the recognition model, the violation behavior corresponding to the feature is generated; the extracted features are mainly color features and shape features of the corresponding image positions; If one of the color feature and shape feature root matches fails, the match failure is displayed directly, and the group of images is marked and sent to the management staff for review. After review, the management staff will feedback the final result and determine whether the operation and maintenance personnel have violated the rules during the inspection process; For example, after receiving the video stream data, the edge computing device converts it into an image in a set format, such as an RGB format image.

[0022] Preprocess the image: If the image is blurred, use the image sharpening algorithm to process it. Suppose the body contour of the operator is not clear in the original image, and after the sharpening algorithm is used, the body contour becomes clear; If the lighting is uneven, perform histogram equalization. For example, in the original image, the upper body of the operator is brighter and the lower body is darker. After processing, the brightness and contrast of each part of the body are more uniform, which is convenient for the subsequent extraction and analysis of body contours and color features; Perform feature extraction on the preprocessed image. For the detection of people not wearing helmets, focus on extracting the head features of the people, and input the extracted head features into the recognition model. The recognition model extracts the qualified image corresponding to the head features and matches the color features and head shape. If the extracted shape features do not match the shape features of a qualified head wearing a helmet in the model, for example, the top of the head is too flat or the shapes of the two sides are irregular and do not conform to the shape change rules after the helmet is worn, the head shape feature matching is determined to have failed.

[0023] If the extracted color features do not match the color features of a qualified head wearing a helmet in the model, for example, the hair color is not correctly blocked in the area that the helmet should cover, or the transition of the skin color at the edge of the helmet does not match the situation after wearing the helmet, the head color feature matching is determined to have failed; As long as one of the shape features and color features fails to match, it is determined that the entire head feature fails to match the qualified image in the recognition model, thus generating the violation of not wearing a helmet; The management decision module is used to conduct a comprehensive analysis of the substation's violations in the current month, thereby generating a safety behavior report for the substation in the current month; Specifically: M1: Based on the location of each device in the substation, different equipment areas are divided, and the number of violations that occurred in different equipment areas of the substation in the month is counted; The equipment area includes the main transformer area, switchgear area, and reactive power compensation equipment area, etc.; M2: First, convert the number of violations that occurred in different equipment areas in the month into corresponding risk scores, set the risk coefficients of the corresponding violations in different equipment areas, sum the risk scores of each group of different equipment areas in the substation in the month, and then multiply the sum by the risk coefficient of the corresponding equipment area to obtain the regional violation index of the corresponding equipment area of ​​the substation; By dividing different equipment areas and counting the number of violations in each area, converting it into a risk score and combining it with the risk coefficient to calculate the regional violation index, the safety risk level of each equipment area can be accurately quantified; this helps managers quickly understand which areas in the substation have a higher risk of violations, so as to strengthen the management and supervision of these areas in a targeted manner; M3: After obtaining the regional violation indexes of different equipment areas according to step M2, sum the regional violation indexes of different equipment areas to obtain the index sum, and calculate the proportion of the corresponding regional violation indexes of different equipment areas in the index sum respectively, and use the calculated proportions of each group as the duration proportions of different equipment areas in the safety training video of the next month, and send it to the management personnel to adjust the corresponding duration proportions of the safety training video of the next month; The duration of the safety training video is calculated based on the violation situation of different equipment areas, which makes the safety training personalized and targeted. For areas with more violations, more time is given in the safety training video, which can explain the safety regulations and operating points of the area in more depth, which helps to improve the operators' attention to safety issues in the area and their operating skills, thereby reducing the occurrence of violations. M4: Count the number of violations that occurred in different equipment areas of the substation in the month, extract the patrol personnel corresponding to each violation, sort the number of violations of each patrol personnel from most to least, and extract the top three patrol personnel as the personnel with more violations; By sorting the number of violations of inspection personnel and extracting personnel with more violations, it can help managers quickly identify operators who need to be paid special attention and strengthened education. This is of great significance for improving the safety awareness of operators and standardizing operations; M5: Based on steps M1 to M4, the analysis results are filled into the preset safety behavior report template to generate the safety behavior report of the substation for the current month; the analysis results include the number of violations in different equipment areas of the substation for the current month, the regional violation index of different equipment areas of the substation, the duration ratio of different equipment areas in the safety training video for the next month, and the personnel with more violations; The equipment management module also includes a monitoring management unit, a data transmission unit and a display unit; The monitoring management unit is used to integrate various pre-deployed intelligent devices; Including drones, wheeled robots, track robots, binocular cameras, spherical cameras, voiceprint devices, meteorological instruments, etc.; these devices are connected to the system through a unified interface to realize data collection and transmission.

[0024] Drones can conduct high-altitude inspections and conduct macroscopic monitoring of the substation as a whole and the surrounding environment, such as checking the appearance of equipment, line conditions, and the intrusion of foreign objects in the surrounding area; Wheeled robots and track robots can run on the ground and specific tracks in the substation, inspect the equipment at close range, and detect the temperature and appearance integrity of the equipment; Binocular cameras and spherical cameras capture equipment images from different angles, providing multi-angle visual data for equipment status identification and defect detection; The soundprint device is used to monitor the sound of equipment operation and determine whether the equipment has abnormal sounds, such as discharge sounds, mechanical failure sounds, etc. by analyzing the sound characteristics; The meteorological instrument monitors the temperature, humidity, wind speed, rainfall and other meteorological parameters in the substation in real time, providing environmental data support for environmental assessment and equipment operation status analysis; The data transmission unit is used to transmit various pre-deployed intelligent devices to the device database through wireless communication; For data with high real-time requirements, such as equipment operation status data, alarm signals, etc., a high-speed and stable wired communication network is used to ensure the timeliness and accuracy of data transmission; For some scenarios that require higher flexibility, such as drone inspection data transmission, wireless communication methods, such as 5G networks, can be used to ensure efficient data transmission; The display unit is used to present the analysis results of the equipment monitoring unit and the personnel monitoring module in real time on the monitoring interface; The monitoring interface displays high-definition video, robot patrol images, equipment operating status, operating environment parameters, on-site personnel behavior, fire and security conditions and other information in real time; operating personnel can use this module to remotely view various situations in the substation and achieve 7*24h uninterrupted monitoring.

[0025] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The substation intelligent patrol environment monitoring system is characterized by: include: Equipment management module: including equipment database, equipment monitoring unit and task allocation unit; Equipment database: stores the basic information and operation information of each device in the substation and builds a database based on it; Equipment monitoring unit: according to the preset monitoring time interval corresponding to each device in the substation, after reaching the corresponding preset monitoring time interval, analyze the usage status of the corresponding equipment in the substation, and execute corresponding steps based on the analysis results to generate the inspection signaling of the corresponding equipment in the substation; Task allocation unit: When generating inspection signaling for corresponding equipment in the substation, determine the impact level of the corresponding equipment and analyze the inspection performance index of each inspector within the set range. , and then execute the corresponding steps to select the corresponding inspection personnel as the operation and maintenance personnel of the corresponding equipment in the substation; Personnel monitoring module: After the operation and maintenance personnel enter the location of the corresponding equipment in the substation, the video stream data after the operation and maintenance personnel arrive at the location of the corresponding equipment is collected and analyzed to determine whether the operation and maintenance personnel have violated regulations during the inspection process; Management decision-making module: conducts a comprehensive analysis of the substation's violations for the month, thereby generating a safety behavior report for the substation for the month.

2. The substation intelligent patrol environment monitoring system according to claim 1 is characterized in that: Analyze the usage status of the corresponding equipment in the substation, specifically: After the corresponding preset monitoring time interval is reached, the time point at which the corresponding preset monitoring time interval is reached is marked as the evaluation starting point, and the commissioning date and historical maintenance records of the corresponding equipment before the evaluation starting point are extracted from the equipment database; The historical maintenance times of the corresponding equipment are counted from the historical maintenance records of the corresponding equipment, and the time difference between the date when the corresponding equipment was put into use and the evaluation starting point is calculated to obtain the usage time of the corresponding equipment. The ratio of the historical maintenance times and the usage time is calculated to obtain the failure frequency of the corresponding equipment at the current evaluation starting point, that is, the failure frequency is calculated by the historical maintenance times / the usage time; the failure causes of the corresponding equipment corresponding to each historical maintenance are obtained, and different failure causes are set to correspond to a corresponding equipment hidden danger score; the failure causes of each historical maintenance of the corresponding equipment are matched with the corresponding equipment hidden danger score, and the equipment hidden danger scores matched by each historical maintenance are accumulated to obtain the hidden danger index of the corresponding equipment at the current evaluation starting point; the failure frequency and hidden danger index of the corresponding equipment at the current evaluation starting point are marked as eq and er respectively; at the same time, the operation time of the corresponding equipment is obtained and marked as ey; Substitute the failure frequency eq, hidden danger index er and running time ey of the corresponding equipment at the current evaluation starting point into the formula , perform weighted calculation to obtain the device status index of the corresponding device at the current evaluation starting point ;in , as well as They respectively represent the maximum allowable failure frequency, the maximum allowable hidden danger index and the single maximum allowable operating time of the corresponding equipment; a1, a2 and a3 are the influence weight factors of the failure frequency eq, the hidden danger index er and the operating time ey, respectively.

3. The substation intelligent patrol environment monitoring system according to claim 2 is characterized in that: Based on the analysis results, corresponding steps are executed to generate inspection signaling for corresponding equipment in the substation, specifically: The equipment status index of each device in the substation at the current evaluation starting point is used Indicates, where v represents the number of substation equipment, v=1,2......, f, f represents the total number of equipment in the substation, and the database includes the corresponding equipment status index of each equipment in the substation Each group of index value ranges is set to correspond to a reference inspection interval of a corresponding device; The equipment status index of each equipment in the substation at the current evaluation starting point The input database is matched with the corresponding index value range to obtain the inspection reference interval duration of each device in the substation at the current evaluation starting point; Obtain the inspection date of each device in the substation closest to the current evaluation starting point, and calculate the time difference with the current evaluation starting point to obtain the inspection time of each device in the substation; The inspection time of each device in the substation is compared with the corresponding inspection reference interval. If the inspection time of a device in the substation is longer than the corresponding inspection reference interval, the device is marked as a device to be inspected, and an inspection signaling of the device is generated; If the inspection time of a device in the substation is less than the corresponding matching inspection reference interval, the device will be marked as a device to be evaluated and sent to the manager's mobile terminal. The manager can directly mark the device as a device to be inspected and generate an inspection signal for the device.

4. The substation intelligent patrol environment monitoring system according to claim 1 is characterized in that: Determine the impact level of the corresponding equipment and analyze the inspection performance index of each inspector within the set range , specifically: S1: preset the impact levels of each group corresponding to the equipment, and classify the impact levels of each equipment in the substation; when generating the inspection signaling of the corresponding equipment in the substation, obtain the impact level corresponding to the classification of the equipment; S2: Construct a circle with the corresponding device as the center and the set distance as the radius. Use the constructed circle as the setting range of the corresponding device, select the inspectors within the setting range, and analyze the inspection performance index of each inspector within the setting range. .

5. The substation intelligent patrol environment monitoring system according to claim 4 is characterized in that: Based on the inspection performance index of each inspector Execute the corresponding steps to select the corresponding inspection personnel as the operation and maintenance personnel of the corresponding equipment in the substation, specifically: S3: Select inspection performance index The largest inspection personnel serves as the operation and maintenance personnel of the corresponding equipment of the substation, and sends the location of the corresponding equipment to the operation and maintenance personnel. At the same time, the historical inspection times of the operation and maintenance personnel are increased by one; S4: If multiple groups of inspection signaling are generated, first obtain the devices to be inspected corresponding to the multiple groups of inspection signaling, extract and remove the devices to be inspected marked by the management personnel, and execute step S5 for the devices to be inspected marked by the management personnel; After the elimination is completed, the inspection elapsed time and the inspection reference interval time of the remaining equipment to be inspected are obtained, and the difference is calculated, that is, the inspection elapsed time is subtracted from the inspection reference interval time, and the calculated difference is marked as the priority evaluation value, and the impact level corresponding to the remaining equipment to be inspected is obtained, and different impact levels are set to correspond to an impact coefficient respectively, and the priority evaluation value of the remaining equipment to be inspected is multiplied by the corresponding impact coefficient to obtain the patrol priority index of the remaining equipment to be inspected, and the patrol priority index of each remaining equipment to be inspected is sorted from large to small. After the sorting is completed, steps S2 and S3 are executed from left to right in sequence; S5: Obtain the inspection elapsed time and the inspection reference interval of the equipment to be inspected marked by the manager, and calculate the difference, that is, subtract the inspection elapsed time from the inspection reference interval, and mark the calculated difference as the remaining arrival time; similarly, step S4 obtains the influence coefficient of the equipment to be inspected marked by the manager, calculates the ratio between the corresponding influence coefficient and the remaining arrival time of the equipment to be inspected marked by the manager, that is, through the influence coefficient / remaining arrival time, obtains the inspection warning index of the equipment to be inspected marked by the manager, and sorts the inspection warning index of the equipment to be inspected marked by the manager from large to small. After the sorting is completed, it is integrated with the sorting result of step S4 to form a new sorting combination. The leftmost side of the sorting result of step S5 is adjacent to the rightmost side of the sorting result of step S4. After the sorting is completed, steps S2 and S3 are executed from left to right in sequence.

6. The substation intelligent patrol environment monitoring system according to claim 4 is characterized in that: Get the inspection performance index of each inspector The specific steps are: S2-101: extract the historical inspection times of each inspector from the work log of each inspector within the set range and record it as j1; S2-102: Extract the duration of each historical inspection corresponding to each inspector within the set range, and the duration starts from the time when the inspector is selected and ends at the time when the inspection is completed; obtain the equipment corresponding to each historical inspection, set the reference duration of different equipment, and compare the duration of each historical inspection with the corresponding reference duration. If the duration of a historical inspection is lower than the corresponding reference duration, mark the inspection as an efficient inspection, count the number of efficient inspections as the efficient number, and record it as j2; S2-103: Extract the violation behaviors of each inspector in the previous month from the work logs of each inspector within the set range; set a risk score corresponding to each violation behavior; The violation behaviors of each inspector last month are converted into risk scores based on the set rules and accumulated as the violation scores of each inspector, which are recorded as j3; S2-104; obtaining the distance between each patrol officer and the corresponding equipment within the set range, and recording it as j4; S2-105: Set different values ​​of the impact weight factors of the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 corresponding to different impact levels. Based on the impact level corresponding to the corresponding equipment, normalize the historical inspection times j1, high efficiency times j2, violation scores j3 and distance j4 of each inspector and substitute them into the formula Perform weighted calculation to obtain the inspection performance index of each inspector ; Among them, b1, b2, b3 and b4 represent the influencing weight factors of historical inspection times j1, efficient times j2, violation scores j3 and journey distance j4 respectively.

7. The substation intelligent patrol environment monitoring system according to claim 1 is characterized in that: Analyze the video stream data to determine whether the operation and maintenance personnel have violated regulations during the inspection process, specifically: After collecting the video stream data after the operation and maintenance personnel arrive at the location of the corresponding equipment, the video stream data is converted into an image in a set format, and the image is pre-processed after the conversion is completed; After the preprocessing is completed, the preprocessed image is subjected to feature extraction, and the extracted features are input into the pre-built recognition model, which includes qualified images of various safety behaviors. If a certain extracted feature fails to match the corresponding qualified image after being input into the recognition model, the violation behavior corresponding to the feature is generated; the extracted features are mainly color features and shape features of the corresponding image positions; If one of the color features and shape features fails to match the root, the match failure will be displayed directly. At the same time, the group of images will be marked and sent to the management staff for review. After review, the management staff will feedback the final result and determine whether the operation and maintenance personnel have violated the rules during the inspection process.

8. The substation intelligent patrol environment monitoring system according to claim 1 is characterized in that: A comprehensive analysis of the substation's violations for the month is as follows: M1: Based on the location of each device in the substation, different equipment areas are divided, and the number of violations that occurred in different equipment areas of the substation in the month is counted; M2: First, convert the number of violations that occurred in different equipment areas in the month into corresponding risk scores, set the risk coefficients of the corresponding violations in different equipment areas, sum the risk scores of each group of different equipment areas in the substation in the month, and then multiply the sum by the risk coefficient of the corresponding equipment area to obtain the regional violation index of the corresponding equipment area of ​​the substation; M3: After obtaining the regional violation indexes of different equipment areas according to step M2, sum the regional violation indexes of different equipment areas to obtain the index sum, and calculate the proportion of the corresponding regional violation indexes of different equipment areas in the index sum respectively, and use the calculated proportions of each group as the duration proportions of different equipment areas in the safety training video of the next month, and send it to the management personnel to adjust the corresponding duration proportions of the safety training video of the next month; M4: Count the number of violations that occurred in different equipment areas of the substation in that month, and extract the inspection personnel corresponding to each violation, sort the number of violations of each inspection personnel from most to least, and extract the top three inspection personnel as the personnel with more violations.

9. The substation intelligent patrol environment monitoring system according to claim 8 is characterized in that: Generate a safety behavior report for the substation for the current month, specifically: M5: Based on steps M1 to M4, the analysis results are filled into the preset safety behavior report template to generate a safety behavior report for the substation for that month; the analysis results include the number of violations that occurred in different equipment areas of the substation for that month, the regional violation index of different equipment areas of the substation, the proportion of time spent in different equipment areas in the safety training video for the next month, and the people with more violations.

10. The substation intelligent patrol environment monitoring system according to claim 9, characterized in that: The equipment management module also includes a monitoring management unit, a data transmission unit and a display unit; The monitoring management unit is used to integrate various pre-deployed intelligent devices; The data transmission unit is used to transmit various pre-deployed intelligent devices to the device database through wireless communication; The display unit is used to present the analysis results of the equipment monitoring unit and the personnel monitoring module in real time on the monitoring interface.

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